Examination Method and Implementation for Field Survey Data of Crop Types Based on Multi-resolution Satellite Images
In order to examine the accuracy of large amount of the field survey data with less accurate, an examination method based on multi-resolution satellite images was proposed in this paper. As there were so large amount of data, stratified random sampling was used to obtain effective samples. Firstly, vegetation index derived from low-resolution satellite images at different times has been adopted as analysis factor. And wave curve charts were drawn with the vegetation index. From those charts, the statistics law of wave curves for differ-ent crop types was recognized using for crop types classification. Secondly, high-resolution satellite images were used to correct the area of crop types to get the final classification results. Finally, the accuracy of the field survey data can be calculated by comparing the original survey data with the final classifi-cation results. Moreover, for convenience using, a software has been developed according to the above examination method.
Examination method and implementation Stratified random sam-pling Automatic processing Crop types Multi-resolution satellite images
Yang Liu Mingyi Du Wenquan Zhu
School of Geomatics and Urban Information, Beijing University of Civil Engineering and Architecture, College of Resources Science and Technology, Beijing Normal University, Beijing, China
国际会议
南昌
英文
681-690
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）